{"id":"W1508153821","doi":"10.1080/10835547.2005.12091158","title":"Spatial Versus Non-Spatial Determinants of Shopping Center Rents: Modeling Location and Neighborhood-Related Factors","year":2005,"lang":"en","type":"article","venue":"Journal of Real Estate Research","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Economic rent; Index (typography); Center (category theory); Space (punctuation); Business; Mobile phone; Phone; Geography; Spatial analysis; Economic geography; Economics; Microeconomics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006376985,0.0004206903,0.0005039731,0.0007946974,0.0004108037,0.001492754,0.001004048,0.0006481718,0.002209179],"category_scores_gemma":[0.002258072,0.0004115661,0.0008221826,0.000885472,0.0006247236,0.001126315,0.0007463468,0.0004419936,0.0002488733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001740157,"about_ca_system_score_gemma":0.001613242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1282242,"about_ca_topic_score_gemma":0.1723744,"domain_scores_codex":[0.9997188,0.0001190864,0.000007718963,0.00003962701,0.0000272354,0.00008732925],"domain_scores_gemma":[0.9991444,0.0004802082,0.0001265464,0.00004505408,0.00009667013,0.0001070311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000186242,0.0003050144,0.3201101,0.00005395116,0.0001934968,0.0002871424,0.0002325115,0.6503137,0.0009241335,0.0187735,0.000542186,0.008077992],"study_design_scores_gemma":[0.0000159783,0.00005795557,0.03698443,0.000009589406,0.00005261563,0.00004202929,0.0002613532,0.9600704,0.000128275,0.001954465,0.0004088609,0.00001413138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886868,0.0001025696,0.008646598,0.000128191,0.000006443211,0.00002771842,0.00019058,0.00001755997,0.002193493],"genre_scores_gemma":[0.997151,0.00008279482,0.00163912,0.00000738354,0.000004526287,0.00001411598,0.00006369458,0.000006264513,0.001031185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1282242,"threshold_uncertainty_score":0.2549557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09628236936071341,"score_gpt":0.3646391777214864,"score_spread":0.2683568083607729,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}